Informatics Publishing Limited

K. Amutha ¹, S. Aishwarya ¹

Affiliations
1 Department of Biotechnology, School of Life Sciences, VELS University, Velan Nagar, Pallavaram, Chennai- 600 0117, Tamil Nadu, IN

Abstract

Natural remedies from medicinal plants are considered to be effective and safe alternative treatment for diabetes. The aim of this study was to investigate the effect of methanol extract of Syzygium cumini (L.) Skeels. seed in pathogenic bacteria and streptozotocin-induced diabetic, which was induced in rats by a single intraperitoneal injection of streptozotocin. S. cumini, a medicinal plant for diabetes mellitus are regularly using powered form of seeds. Methanol extract of S. cumini seeds was analyzed against pathogenic bacteria. Anti- bacterial activity shown good results with Bacillus subtilis, E.coli, Staphylococcus aures and Klebsella pneumonia. TLC and HPLC analysis proves the presence of 11 various compounds. Experimental trials with rats proved that seeds possess promising activity against diabetes mellitus. The continuous treatment of Syzygium cumini for a period of fifteen days produced a significant decrease in the blood sugar level of diabetic rats.

Keywords

Syzygium cumini, Diabetes Mellitus, Seeds, Diabetic Rats, HPLC.

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S. Aishwarya ¹, D. Muralidharan ²

Affiliations
1 School of Computing, SASTRA University, Thirumalaisamudram, Thanjavur - 613401, Tamil Nadu, IN
2 School of Computing, Information Technology, SASTRA University, Thirumalaisamudram, Thanjavur - 613401, Tamil Nadu, IN

Abstract

On chip communication is now an upcoming technology; whereOn-chip interconnections are becoming tedious as they need to assure reliability, power, speed and scalability issues. Systems on chips, (SoCs), are so intricate that they oblige new interconnection techniques. Networks on Chip (NoCs) have paved way to resolve these problems. As application is becoming complex they require good design for greater bandwidth and performance which lead to 3D NoC. 3D NoC provide best solutions to connect as many functional elements on-chip over 2D NoC. Data flow NoCs can be categorized into: packet switched and circuit switched NoCs. The paper focus on simultaneous circuit and packet switching to benefit from two methods which ensures low latency and more resource utilization. Here in this paper, the circuit switched NoC is much concentrated where we implement our ideas in area like circuit setup method. Here we bring in a new method for guaranteed Quality of Service (QoS) known an efficient path establishment mechanism in circuit switching in 3D Torus topology. Torus topology aims to produce less latency of other topologies, where the path is estimated based on to the destination node layers and position. This paper is more advantageous where it can get switched between to different layers and position in which destination is placed. As of 3D NoC with increased number of nodes it ensureslow power, low latency, increase hardware integration, improved throughput and enables multi core processing and also resolves scalability crisis. It can operate on both packet and circuit switching which reduces both cost and operational expenses. Analysis on latency, power and throughput is made for 3D hybrid integration which provides better solutions. Optic Communication can be extended for future progress for improved speed and accuracy.

Keywords

Circuit Switching, 3D NoC, SoC, Packet Switching, Torus, Quality of Service.

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V. Nandini ¹, R. Deepak Vishal ², C. Arun Prakash ², S. Aishwarya ¹

Affiliations
1 Department of Computer Science and Engineering, SSN College of Engineering, Kalavakkam - 603110,Tamil Nadu, IN
2 Department of Mechanical Engineering, SSN College of Engineering, Kalavakkam - 603110,Tamil Nadu, IN

Abstract

Objectives: This paper presents a review on the applications of machine vision technology in various industries such as food industry, textile industry, PCB industry and tile industry, thereby enhancing the conventional system. Methods: This technique used for inspection, sorting, handling and testing various components by machine vision is given with ample illustrations. Using this as a guide, generic machine vision approaches can be derived and applied to solve many problems. Findings: The machine vision techniques applied in the above mentioned fields are studied. It has been proven from research that automating processes in several industries has led to better results than manual processing. As a scientific discipline, machine vision is concerned with the concept behind artificial systems that incorporates image processing. Machine vision systems are based on extracting the images of the objects which are to be inspected/tested and processing them to retrieve the required data. This review paper provides an insight on how to combine two or more machine vision techniques to successfully incorporate them in more generic applications that may have the potential to perform with greater agility and accuracy.

Keywords

Image Processing, Inspection, Machine Vision.

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